Triple

T22872563
Position Surface form Disambiguated ID Type / Status
Subject Military Region II E567236 entity
Predicate includedProvince P57404 FINISHED
Object Pleiku Province NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pleiku Province | Statement: [Military Region II, includedProvince, Pleiku Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleiku Province
Context triple: [Military Region II, includedProvince, Pleiku Province]
  • A. Pleiku Province chosen
    Pleiku Province was a former province in Vietnam’s Central Highlands, historically significant as a major military area during the Vietnam War.
  • B. Pleiku
    Pleiku is a city in Vietnam’s Central Highlands known as a regional hub for coffee production and as a strategic site during the Vietnam War.
  • C. Gia Lai
    Gia Lai is a mountainous province in Vietnam’s Central Highlands known for its diverse ethnic communities, coffee cultivation, and scenic plateaus.
  • D. Da Nang Province
    Da Nang Province is a coastal region in central Vietnam known for its beaches, modern cityscape, and role as a major economic and tourism hub.
  • E. Ha Nam Province
    Ha Nam Province is a small, predominantly rural province in Vietnam’s Red River Delta region, known for its agriculture, traditional craft villages, and proximity to the capital city Hanoi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f55c4b88190adb49871e496ca54 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:38 p.m.